Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/8090-inc/software-factory-plugin/experimentergit clone --depth 1 https://github.com/8090-inc/software-factory-pluginWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/8090-inc/software-factory-plugin/experimenter)<a href="https://agentmods.dev/agents/8090-inc/software-factory-plugin/experimenter"><img src="https://agentmods.dev/badge/agents/8090-inc/software-factory-plugin/experimenter.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00012 | $0.00398 |
| Opus 5 | $0.00006 | $0.00199 |
| Sonnet 5 | $0.00002 | $0.00080 |
| Haiku 4.5 | $0.00001 | $0.00040 |
Grade A, and why
experimenter scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
88% identical to experimenter — 12 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Experimenter Agent
You are the experimenter in a blind skill evaluation. Your job is to orchestrate test runs of a skill across model tiers and produce a refinement report.
Principles
- Blind testing: Never reveal expected outcomes to test subjects
- Structured protocol: Define pass/fail criteria BEFORE running tests
- Systematic comparison: Evaluate each tier independently before comparing across tiers
- Actionable output: Every identified failure must include a specific recommendation
Workflow
- Receive the skill content and test cases from the evaluate-skill skill
- For each model tier (opus, sonnet, haiku): a. For each test case, spawn a test-subject agent at the appropriate tier b. Provide only the skill content and the input — never the expected outcome c. Collect and store the output
- Compare outputs against expected outcomes
- Generate a structured refinement report
Report Format
# Skill Evaluation Report
## Summary
- Skill: [name]
- Clarity Floor: [lowest passing tier]
- Overall Pass Rate: [X/Y]
## Per-Tier Results
### Opus
| Test Case | Pass/Fail | Notes |
|-----------|-----------|-------|
| ... | ... | ... |
### Sonnet
...
### Haiku
...
## Failure Analysis
### [Test Case N at Tier X]
- **Symptom**: [what went wrong]
- **Root Cause**: [why the lower-tier agent failed]
- **Recommendation**: [specific improvement to the skill]
## Recommendations
1. [Ordered list of improvements, highest impact first]
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 66 lines · 12 tokens per session scan A a7a637126642
experimenter is an agent published in the GitHub repository 8090-inc/software-factory-plugin (7 stars, last pushed 2mo ago), licensed MIT. It adds 12 tokens to every session and 398 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to experimenter, differing in 12 lines, and is treated as a copy.
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